{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## zipline installation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Please follow installation instructions [here](../../installation/README.md)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is recommended to install Zipline in an isolated conda environment. Installing Zipline in conda environments will not interfere your default Python deployment or site-packages, which will prevent any possible conflict with your global libraries."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `ml4t-zipline.yml`in the `installation/environments/{linux/windows/macos}` directory for your OS to install `zipline` and dependencies in a separate `conda` environment by running:\n",
    "```\n",
    "conda env create -f ml4t-zipline.yml\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, run the Docker image as explained in the installation [instructions](../../installation/README.md) and select the `ml4t-zipline` environment after starting the jupyter server."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ingest Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get QUANDL API key and follow instructions to download zipline bundles [here](http://www.zipline.io/bundles.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-16T16:59:27.200453Z",
     "start_time": "2020-06-16T16:59:27.189141Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from zipline.api import order_target, record, symbol\n",
    "from zipline.examples import buyapple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-16T16:59:27.404151Z",
     "start_time": "2020-06-16T16:59:27.371400Z"
    }
   },
   "outputs": [],
   "source": [
    "%load_ext zipline\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## zipline Demo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Zipline is the algorithmic trading library that powers the Quantopian backtesting and live-trading platform. It is also available offline to develop a strategy using a limited number of free data bundles that can be ingested and used to test the performance of trading ideas before porting the result to the online Quantopian platform for paper and live trading."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data access using zipline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See `zipline` [docs](http://www.zipline.io/bundles.html) on the download and management of data bundles used to simulate backtests. \n",
    "\n",
    "The following commandline instruction lists the available bundles (store per default in `~/.zipline`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-16T16:59:12.691777Z",
     "start_time": "2020-06-16T16:59:12.653Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "csvdir <no ingestions>\n",
      "quandl 2020-06-16 19:30:08.327560\n",
      "quandl 2020-06-16 19:28:43.196734\n",
      "quantopian-quandl <no ingestions>\n"
     ]
    }
   ],
   "source": [
    "!zipline bundles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following code illustrates how zipline permits us to access daily stock data for a range of companies. You can run zipline scripts in the Jupyter Notebook using the magic function of the same name."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, you need to initialize the context with the desired security symbols. We'll also use a counter variable. Then zipline calls handle_data, where we use the `data.history()` method to look back a single period and append the data for the last day to a .csv file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import getenv\n",
    "QUANDL_API_KEY = getenv('QUANDL_API_KEY', None)\n",
    "if not QUANDL_API_KEY:\n",
    "    print('No QUANDL_API_KEY environment variable; please enter key manually below')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-16T16:59:12.693122Z",
     "start_time": "2020-06-16T16:59:12.667Z"
    }
   },
   "outputs": [],
   "source": [
    "!zipline ingest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-16T16:59:12.800259Z",
     "start_time": "2020-06-16T16:59:12.796136Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2020-06-16 19:37:23.192645] INFO: Loader: Cache at /home/packt/.zipline/data/SPY_benchmark.csv does not have data from 1990-01-02 00:00:00+00:00 to 2020-06-16 00:00:00+00:00.\n",
      "\n",
      "[2020-06-16 19:37:23.193536] INFO: Loader: Downloading benchmark data for 'SPY' from 1989-12-29 00:00:00+00:00 to 2020-06-16 00:00:00+00:00\n",
      "[2020-06-16 19:37:23.850793] WARNING: Loader: Still don't have expected benchmark data for 'SPY' from 1989-12-29 00:00:00+00:00 to 2020-06-16 00:00:00+00:00 after redownload!\n",
      "[2020-06-16 19:37:23.851750] INFO: Loader: Cache at /home/packt/.zipline/data/treasury_curves.csv does not have data from 1990-01-02 00:00:00+00:00 to 2020-06-16 00:00:00+00:00.\n",
      "\n",
      "[2020-06-16 19:37:23.852379] INFO: Loader: Downloading treasury data for 'SPY' from 1990-01-02 00:00:00+00:00 to 2020-06-16 00:00:00+00:00\n",
      "[2020-06-16 19:37:24.592918] WARNING: Loader: Still don't have expected treasury data for 'SPY' from 1990-01-02 00:00:00+00:00 to 2020-06-16 00:00:00+00:00 after redownload!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/ml4t-zipline/lib/python3.5/site-packages/empyrical/stats.py:711: RuntimeWarning: invalid value encountered in true_divide\n",
      "  out=out,\n",
      "/opt/conda/envs/ml4t-zipline/lib/python3.5/site-packages/empyrical/stats.py:797: RuntimeWarning: invalid value encountered in true_divide\n",
      "  np.divide(average_annual_return, annualized_downside_risk, out=out)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2020-06-16 19:43:44.832491] INFO: zipline.finance.metrics.tracker: Simulated 2013 trading days\n",
      "first open: 2010-01-04 14:31:00+00:00\n",
      "last close: 2017-12-29 21:00:00+00:00\n"
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    },
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       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-22 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.071743</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-25 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.076666</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-26 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.081563</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-27 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.086434</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-28 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.091279</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-29 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.096098</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-01 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.100892</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-02 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.105661</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-03 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.110404</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-04 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.115122</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-05 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.119815</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-08 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.124483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-09 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.129126</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-10 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.133745</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-11 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.138339</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-12 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.142909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-02-16 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.147454</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-16 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999137</td>\n",
       "      <td>0.081271</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1984</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-17 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999139</td>\n",
       "      <td>0.081251</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1985</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-20 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999138</td>\n",
       "      <td>0.081249</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1986</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-21 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999133</td>\n",
       "      <td>0.081307</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1987</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-22 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999133</td>\n",
       "      <td>0.081293</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1988</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-24 18:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999132</td>\n",
       "      <td>0.081297</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1989</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-27 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999132</td>\n",
       "      <td>0.081284</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1990</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-28 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999123</td>\n",
       "      <td>0.081403</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1991</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-29 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999124</td>\n",
       "      <td>0.081390</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1992</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-30 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999116</td>\n",
       "      <td>0.081476</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1993</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-01 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999118</td>\n",
       "      <td>0.081457</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1994</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-04 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999119</td>\n",
       "      <td>0.081441</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1995</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-05 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999122</td>\n",
       "      <td>0.081421</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1996</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-06 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999123</td>\n",
       "      <td>0.081410</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1997</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-07 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999120</td>\n",
       "      <td>0.081421</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-08 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999115</td>\n",
       "      <td>0.081464</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1999</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-11 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999112</td>\n",
       "      <td>0.081478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-12 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999111</td>\n",
       "      <td>0.081477</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2001</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-13 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999111</td>\n",
       "      <td>0.081464</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2002</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-14 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999115</td>\n",
       "      <td>0.081444</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-15 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999107</td>\n",
       "      <td>0.081543</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-18 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999102</td>\n",
       "      <td>0.081583</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2005</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-19 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999105</td>\n",
       "      <td>0.081563</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2006</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-20 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999106</td>\n",
       "      <td>0.081548</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2007</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-21 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999104</td>\n",
       "      <td>0.081551</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-22 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999105</td>\n",
       "      <td>0.081538</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2009</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-26 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999105</td>\n",
       "      <td>0.081522</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2010</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-27 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999105</td>\n",
       "      <td>0.081515</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-28 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999103</td>\n",
       "      <td>0.081517</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2012</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-29 21:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.999108</td>\n",
       "      <td>0.081499</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2013 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           algo_volatility  algorithm_period_return  alpha  \\\n",
       "2010-01-04 21:00:00+00:00              NaN                      0.0    NaN   \n",
       "2010-01-05 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-06 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-07 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-08 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-11 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-12 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-13 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-14 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-15 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-19 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-20 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-21 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-22 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-25 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-26 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-27 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-28 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-01-29 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-01 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-02 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-03 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-04 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-05 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-08 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-09 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-10 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-11 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-12 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "2010-02-16 21:00:00+00:00              0.0                      0.0    NaN   \n",
       "...                                    ...                      ...    ...   \n",
       "2017-11-16 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-11-17 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-11-20 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-11-21 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-11-22 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-11-24 18:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-11-27 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-11-28 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-11-29 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-11-30 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-01 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-04 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-05 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-06 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-07 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-08 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-11 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-12 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-13 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-14 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-15 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-18 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-19 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-20 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-21 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-22 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-26 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-27 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-28 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "2017-12-29 21:00:00+00:00              0.0                      0.0    0.0   \n",
       "\n",
       "                           benchmark_period_return  benchmark_volatility  \\\n",
       "2010-01-04 21:00:00+00:00                -0.005304                   NaN   \n",
       "2010-01-05 21:00:00+00:00                -0.010579              0.000000   \n",
       "2010-01-06 21:00:00+00:00                -0.015826              0.000000   \n",
       "2010-01-07 21:00:00+00:00                -0.021046              0.000000   \n",
       "2010-01-08 21:00:00+00:00                -0.026238              0.000000   \n",
       "2010-01-11 21:00:00+00:00                -0.031402              0.000000   \n",
       "2010-01-12 21:00:00+00:00                -0.036539              0.000000   \n",
       "2010-01-13 21:00:00+00:00                -0.041649              0.000000   \n",
       "2010-01-14 21:00:00+00:00                -0.046731              0.000000   \n",
       "2010-01-15 21:00:00+00:00                -0.051787              0.000000   \n",
       "2010-01-19 21:00:00+00:00                -0.056816              0.000000   \n",
       "2010-01-20 21:00:00+00:00                -0.061818              0.000000   \n",
       "2010-01-21 21:00:00+00:00                -0.066794              0.000000   \n",
       "2010-01-22 21:00:00+00:00                -0.071743              0.000000   \n",
       "2010-01-25 21:00:00+00:00                -0.076666              0.000000   \n",
       "2010-01-26 21:00:00+00:00                -0.081563              0.000000   \n",
       "2010-01-27 21:00:00+00:00                -0.086434              0.000000   \n",
       "2010-01-28 21:00:00+00:00                -0.091279              0.000000   \n",
       "2010-01-29 21:00:00+00:00                -0.096098              0.000000   \n",
       "2010-02-01 21:00:00+00:00                -0.100892              0.000000   \n",
       "2010-02-02 21:00:00+00:00                -0.105661              0.000000   \n",
       "2010-02-03 21:00:00+00:00                -0.110404              0.000000   \n",
       "2010-02-04 21:00:00+00:00                -0.115122              0.000000   \n",
       "2010-02-05 21:00:00+00:00                -0.119815              0.000000   \n",
       "2010-02-08 21:00:00+00:00                -0.124483              0.000000   \n",
       "2010-02-09 21:00:00+00:00                -0.129126              0.000000   \n",
       "2010-02-10 21:00:00+00:00                -0.133745              0.000000   \n",
       "2010-02-11 21:00:00+00:00                -0.138339              0.000000   \n",
       "2010-02-12 21:00:00+00:00                -0.142909              0.000000   \n",
       "2010-02-16 21:00:00+00:00                -0.147454              0.000000   \n",
       "...                                            ...                   ...   \n",
       "2017-11-16 21:00:00+00:00                -0.999137              0.081271   \n",
       "2017-11-17 21:00:00+00:00                -0.999139              0.081251   \n",
       "2017-11-20 21:00:00+00:00                -0.999138              0.081249   \n",
       "2017-11-21 21:00:00+00:00                -0.999133              0.081307   \n",
       "2017-11-22 21:00:00+00:00                -0.999133              0.081293   \n",
       "2017-11-24 18:00:00+00:00                -0.999132              0.081297   \n",
       "2017-11-27 21:00:00+00:00                -0.999132              0.081284   \n",
       "2017-11-28 21:00:00+00:00                -0.999123              0.081403   \n",
       "2017-11-29 21:00:00+00:00                -0.999124              0.081390   \n",
       "2017-11-30 21:00:00+00:00                -0.999116              0.081476   \n",
       "2017-12-01 21:00:00+00:00                -0.999118              0.081457   \n",
       "2017-12-04 21:00:00+00:00                -0.999119              0.081441   \n",
       "2017-12-05 21:00:00+00:00                -0.999122              0.081421   \n",
       "2017-12-06 21:00:00+00:00                -0.999123              0.081410   \n",
       "2017-12-07 21:00:00+00:00                -0.999120              0.081421   \n",
       "2017-12-08 21:00:00+00:00                -0.999115              0.081464   \n",
       "2017-12-11 21:00:00+00:00                -0.999112              0.081478   \n",
       "2017-12-12 21:00:00+00:00                -0.999111              0.081477   \n",
       "2017-12-13 21:00:00+00:00                -0.999111              0.081464   \n",
       "2017-12-14 21:00:00+00:00                -0.999115              0.081444   \n",
       "2017-12-15 21:00:00+00:00                -0.999107              0.081543   \n",
       "2017-12-18 21:00:00+00:00                -0.999102              0.081583   \n",
       "2017-12-19 21:00:00+00:00                -0.999105              0.081563   \n",
       "2017-12-20 21:00:00+00:00                -0.999106              0.081548   \n",
       "2017-12-21 21:00:00+00:00                -0.999104              0.081551   \n",
       "2017-12-22 21:00:00+00:00                -0.999105              0.081538   \n",
       "2017-12-26 21:00:00+00:00                -0.999105              0.081522   \n",
       "2017-12-27 21:00:00+00:00                -0.999105              0.081515   \n",
       "2017-12-28 21:00:00+00:00                -0.999103              0.081517   \n",
       "2017-12-29 21:00:00+00:00                -0.999108              0.081499   \n",
       "\n",
       "                           beta  capital_used  ending_cash  ending_exposure  \\\n",
       "2010-01-04 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-05 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-06 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-07 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-08 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-11 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-12 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-13 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-14 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-15 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-19 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-20 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-21 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-22 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-25 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-26 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-27 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-28 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-01-29 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-01 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-02 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-03 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-04 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-05 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-08 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-09 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-10 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-11 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-12 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "2010-02-16 21:00:00+00:00   NaN           0.0   10000000.0              0.0   \n",
       "...                         ...           ...          ...              ...   \n",
       "2017-11-16 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-11-17 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-11-20 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-11-21 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-11-22 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-11-24 18:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-11-27 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-11-28 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-11-29 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-11-30 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-01 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-04 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-05 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-06 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-07 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-08 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-11 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-12 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-13 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-14 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-15 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-18 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-19 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-20 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-21 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-22 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-26 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-27 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-28 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "2017-12-29 21:00:00+00:00   0.0           0.0   10000000.0              0.0   \n",
       "\n",
       "                           ending_value          ...            \\\n",
       "2010-01-04 21:00:00+00:00           0.0          ...             \n",
       "2010-01-05 21:00:00+00:00           0.0          ...             \n",
       "2010-01-06 21:00:00+00:00           0.0          ...             \n",
       "2010-01-07 21:00:00+00:00           0.0          ...             \n",
       "2010-01-08 21:00:00+00:00           0.0          ...             \n",
       "2010-01-11 21:00:00+00:00           0.0          ...             \n",
       "2010-01-12 21:00:00+00:00           0.0          ...             \n",
       "2010-01-13 21:00:00+00:00           0.0          ...             \n",
       "2010-01-14 21:00:00+00:00           0.0          ...             \n",
       "2010-01-15 21:00:00+00:00           0.0          ...             \n",
       "2010-01-19 21:00:00+00:00           0.0          ...             \n",
       "2010-01-20 21:00:00+00:00           0.0          ...             \n",
       "2010-01-21 21:00:00+00:00           0.0          ...             \n",
       "2010-01-22 21:00:00+00:00           0.0          ...             \n",
       "2010-01-25 21:00:00+00:00           0.0          ...             \n",
       "2010-01-26 21:00:00+00:00           0.0          ...             \n",
       "2010-01-27 21:00:00+00:00           0.0          ...             \n",
       "2010-01-28 21:00:00+00:00           0.0          ...             \n",
       "2010-01-29 21:00:00+00:00           0.0          ...             \n",
       "2010-02-01 21:00:00+00:00           0.0          ...             \n",
       "2010-02-02 21:00:00+00:00           0.0          ...             \n",
       "2010-02-03 21:00:00+00:00           0.0          ...             \n",
       "2010-02-04 21:00:00+00:00           0.0          ...             \n",
       "2010-02-05 21:00:00+00:00           0.0          ...             \n",
       "2010-02-08 21:00:00+00:00           0.0          ...             \n",
       "2010-02-09 21:00:00+00:00           0.0          ...             \n",
       "2010-02-10 21:00:00+00:00           0.0          ...             \n",
       "2010-02-11 21:00:00+00:00           0.0          ...             \n",
       "2010-02-12 21:00:00+00:00           0.0          ...             \n",
       "2010-02-16 21:00:00+00:00           0.0          ...             \n",
       "...                                 ...          ...             \n",
       "2017-11-16 21:00:00+00:00           0.0          ...             \n",
       "2017-11-17 21:00:00+00:00           0.0          ...             \n",
       "2017-11-20 21:00:00+00:00           0.0          ...             \n",
       "2017-11-21 21:00:00+00:00           0.0          ...             \n",
       "2017-11-22 21:00:00+00:00           0.0          ...             \n",
       "2017-11-24 18:00:00+00:00           0.0          ...             \n",
       "2017-11-27 21:00:00+00:00           0.0          ...             \n",
       "2017-11-28 21:00:00+00:00           0.0          ...             \n",
       "2017-11-29 21:00:00+00:00           0.0          ...             \n",
       "2017-11-30 21:00:00+00:00           0.0          ...             \n",
       "2017-12-01 21:00:00+00:00           0.0          ...             \n",
       "2017-12-04 21:00:00+00:00           0.0          ...             \n",
       "2017-12-05 21:00:00+00:00           0.0          ...             \n",
       "2017-12-06 21:00:00+00:00           0.0          ...             \n",
       "2017-12-07 21:00:00+00:00           0.0          ...             \n",
       "2017-12-08 21:00:00+00:00           0.0          ...             \n",
       "2017-12-11 21:00:00+00:00           0.0          ...             \n",
       "2017-12-12 21:00:00+00:00           0.0          ...             \n",
       "2017-12-13 21:00:00+00:00           0.0          ...             \n",
       "2017-12-14 21:00:00+00:00           0.0          ...             \n",
       "2017-12-15 21:00:00+00:00           0.0          ...             \n",
       "2017-12-18 21:00:00+00:00           0.0          ...             \n",
       "2017-12-19 21:00:00+00:00           0.0          ...             \n",
       "2017-12-20 21:00:00+00:00           0.0          ...             \n",
       "2017-12-21 21:00:00+00:00           0.0          ...             \n",
       "2017-12-22 21:00:00+00:00           0.0          ...             \n",
       "2017-12-26 21:00:00+00:00           0.0          ...             \n",
       "2017-12-27 21:00:00+00:00           0.0          ...             \n",
       "2017-12-28 21:00:00+00:00           0.0          ...             \n",
       "2017-12-29 21:00:00+00:00           0.0          ...             \n",
       "\n",
       "                           short_exposure  short_value  shorts_count  sortino  \\\n",
       "2010-01-04 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-05 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-06 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-07 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-08 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-11 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-12 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-13 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-14 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-15 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-19 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-20 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-21 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-22 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-25 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-26 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-27 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-28 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-01-29 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-01 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-02 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-03 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-04 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-05 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-08 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-09 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-10 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-11 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-12 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2010-02-16 21:00:00+00:00             0.0          0.0             0     None   \n",
       "...                                   ...          ...           ...      ...   \n",
       "2017-11-16 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-11-17 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-11-20 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-11-21 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-11-22 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-11-24 18:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-11-27 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-11-28 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-11-29 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-11-30 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-01 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-04 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-05 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-06 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-07 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-08 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-11 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-12 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-13 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-14 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-15 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-18 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-19 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-20 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-21 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-22 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-26 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-27 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-28 21:00:00+00:00             0.0          0.0             0     None   \n",
       "2017-12-29 21:00:00+00:00             0.0          0.0             0     None   \n",
       "\n",
       "                           starting_cash  starting_exposure  starting_value  \\\n",
       "2010-01-04 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-05 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-06 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-07 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-08 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-11 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-12 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-13 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-14 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-15 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-19 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-20 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-21 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-22 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-25 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-26 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-27 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-28 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-01-29 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-01 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-02 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-03 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-04 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-05 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-08 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-09 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-10 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-11 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-12 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2010-02-16 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "...                                  ...                ...             ...   \n",
       "2017-11-16 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-11-17 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-11-20 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-11-21 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-11-22 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-11-24 18:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-11-27 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-11-28 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-11-29 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-11-30 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-01 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-04 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-05 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-06 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-07 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-08 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-11 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-12 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-13 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-14 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-15 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-18 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-19 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-20 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-21 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-22 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-26 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-27 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-28 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "2017-12-29 21:00:00+00:00     10000000.0                0.0             0.0   \n",
       "\n",
       "                           trading_days transactions treasury_period_return  \n",
       "2010-01-04 21:00:00+00:00             1           []                    0.0  \n",
       "2010-01-05 21:00:00+00:00             2           []                    0.0  \n",
       "2010-01-06 21:00:00+00:00             3           []                    0.0  \n",
       "2010-01-07 21:00:00+00:00             4           []                    0.0  \n",
       "2010-01-08 21:00:00+00:00             5           []                    0.0  \n",
       "2010-01-11 21:00:00+00:00             6           []                    0.0  \n",
       "2010-01-12 21:00:00+00:00             7           []                    0.0  \n",
       "2010-01-13 21:00:00+00:00             8           []                    0.0  \n",
       "2010-01-14 21:00:00+00:00             9           []                    0.0  \n",
       "2010-01-15 21:00:00+00:00            10           []                    0.0  \n",
       "2010-01-19 21:00:00+00:00            11           []                    0.0  \n",
       "2010-01-20 21:00:00+00:00            12           []                    0.0  \n",
       "2010-01-21 21:00:00+00:00            13           []                    0.0  \n",
       "2010-01-22 21:00:00+00:00            14           []                    0.0  \n",
       "2010-01-25 21:00:00+00:00            15           []                    0.0  \n",
       "2010-01-26 21:00:00+00:00            16           []                    0.0  \n",
       "2010-01-27 21:00:00+00:00            17           []                    0.0  \n",
       "2010-01-28 21:00:00+00:00            18           []                    0.0  \n",
       "2010-01-29 21:00:00+00:00            19           []                    0.0  \n",
       "2010-02-01 21:00:00+00:00            20           []                    0.0  \n",
       "2010-02-02 21:00:00+00:00            21           []                    0.0  \n",
       "2010-02-03 21:00:00+00:00            22           []                    0.0  \n",
       "2010-02-04 21:00:00+00:00            23           []                    0.0  \n",
       "2010-02-05 21:00:00+00:00            24           []                    0.0  \n",
       "2010-02-08 21:00:00+00:00            25           []                    0.0  \n",
       "2010-02-09 21:00:00+00:00            26           []                    0.0  \n",
       "2010-02-10 21:00:00+00:00            27           []                    0.0  \n",
       "2010-02-11 21:00:00+00:00            28           []                    0.0  \n",
       "2010-02-12 21:00:00+00:00            29           []                    0.0  \n",
       "2010-02-16 21:00:00+00:00            30           []                    0.0  \n",
       "...                                 ...          ...                    ...  \n",
       "2017-11-16 21:00:00+00:00          1984           []                    0.0  \n",
       "2017-11-17 21:00:00+00:00          1985           []                    0.0  \n",
       "2017-11-20 21:00:00+00:00          1986           []                    0.0  \n",
       "2017-11-21 21:00:00+00:00          1987           []                    0.0  \n",
       "2017-11-22 21:00:00+00:00          1988           []                    0.0  \n",
       "2017-11-24 18:00:00+00:00          1989           []                    0.0  \n",
       "2017-11-27 21:00:00+00:00          1990           []                    0.0  \n",
       "2017-11-28 21:00:00+00:00          1991           []                    0.0  \n",
       "2017-11-29 21:00:00+00:00          1992           []                    0.0  \n",
       "2017-11-30 21:00:00+00:00          1993           []                    0.0  \n",
       "2017-12-01 21:00:00+00:00          1994           []                    0.0  \n",
       "2017-12-04 21:00:00+00:00          1995           []                    0.0  \n",
       "2017-12-05 21:00:00+00:00          1996           []                    0.0  \n",
       "2017-12-06 21:00:00+00:00          1997           []                    0.0  \n",
       "2017-12-07 21:00:00+00:00          1998           []                    0.0  \n",
       "2017-12-08 21:00:00+00:00          1999           []                    0.0  \n",
       "2017-12-11 21:00:00+00:00          2000           []                    0.0  \n",
       "2017-12-12 21:00:00+00:00          2001           []                    0.0  \n",
       "2017-12-13 21:00:00+00:00          2002           []                    0.0  \n",
       "2017-12-14 21:00:00+00:00          2003           []                    0.0  \n",
       "2017-12-15 21:00:00+00:00          2004           []                    0.0  \n",
       "2017-12-18 21:00:00+00:00          2005           []                    0.0  \n",
       "2017-12-19 21:00:00+00:00          2006           []                    0.0  \n",
       "2017-12-20 21:00:00+00:00          2007           []                    0.0  \n",
       "2017-12-21 21:00:00+00:00          2008           []                    0.0  \n",
       "2017-12-22 21:00:00+00:00          2009           []                    0.0  \n",
       "2017-12-26 21:00:00+00:00          2010           []                    0.0  \n",
       "2017-12-27 21:00:00+00:00          2011           []                    0.0  \n",
       "2017-12-28 21:00:00+00:00          2012           []                    0.0  \n",
       "2017-12-29 21:00:00+00:00          2013           []                    0.0  \n",
       "\n",
       "[2013 rows x 37 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%zipline --start 2010-1-1 --end 2018-1-1 --data-frequency daily\n",
    "from zipline.api import order_target, record, symbol\n",
    "import pandas as pd\n",
    "\n",
    "def initialize(context):\n",
    "    context.i = 0\n",
    "    context.assets = [symbol('FB'), symbol('GOOG'), symbol('AMZN')]\n",
    "    \n",
    "def handle_data(context, data):\n",
    "    df = data.history(context.assets, fields=['price', 'volume'], bar_count=1, frequency=\"1d\")\n",
    "    df = df.to_frame().reset_index()\n",
    "    \n",
    "    if context.i == 0:\n",
    "        df.columns = ['date', 'asset', 'price', 'volume']\n",
    "        df.to_csv('stock_data.csv', index=False)\n",
    "    else:\n",
    "        df.to_csv('stock_data.csv', index=False, mode='a', header=None)\n",
    "    context.i += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can plot the data as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-16T16:59:12.802164Z",
     "start_time": "2020-06-16T16:59:12.696Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "asset\n",
       "Equity(1037 [FB])      AxesSubplot(0.125,0.2;0.775x0.68)\n",
       "Equity(1244 [GOOG])    AxesSubplot(0.125,0.2;0.775x0.68)\n",
       "Equity(167 [AMZN])     AxesSubplot(0.125,0.2;0.775x0.68)\n",
       "Name: price, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_csv('stock_data.csv')\n",
    "df.date = pd.to_datetime(df.date)\n",
    "df.set_index('date').groupby('asset').price.plot(lw=2, legend=True, figsize=(14, 6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simple moving average strategy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following code example illustrates a [Dual Moving Average Cross-Over Strategy](https://www.zipline.io/beginner-tutorial.html#access-to-previous-prices-using-history) to demonstrate zipline in action:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-16T16:59:12.803214Z",
     "start_time": "2020-06-16T16:59:12.715Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2020-06-16 19:43:45.460256] WARNING: Loader: Refusing to download new benchmark data because a download succeeded at 2020-06-16 19:37:23.847449+00:00.\n",
      "[2020-06-16 19:43:45.506007] WARNING: Loader: Refusing to download new treasury data because a download succeeded at 2020-06-16 19:37:24.591450+00:00.\n",
      "[2020-06-16 19:43:50.540876] INFO: zipline.finance.metrics.tracker: Simulated 1007 trading days\n",
      "first open: 2014-01-02 14:31:00+00:00\n",
      "last close: 2017-12-29 21:00:00+00:00\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>algo_volatility</th>\n",
       "      <th>algorithm_period_return</th>\n",
       "      <th>alpha</th>\n",
       "      <th>benchmark_period_return</th>\n",
       "      <th>benchmark_volatility</th>\n",
       "      <th>beta</th>\n",
       "      <th>capital_used</th>\n",
       "      <th>ending_cash</th>\n",
       "      <th>ending_exposure</th>\n",
       "      <th>...</th>\n",
       "      <th>short_mavg</th>\n",
       "      <th>short_value</th>\n",
       "      <th>shorts_count</th>\n",
       "      <th>sortino</th>\n",
       "      <th>starting_cash</th>\n",
       "      <th>starting_exposure</th>\n",
       "      <th>starting_value</th>\n",
       "      <th>trading_days</th>\n",
       "      <th>transactions</th>\n",
       "      <th>treasury_period_return</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-01-02 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.005304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-03 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.010579</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-06 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.015826</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-07 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.021046</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-08 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.026238</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-09 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.031402</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-10 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.036539</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-13 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.041649</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-14 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.046731</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-15 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.051787</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-16 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.056816</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-17 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.061818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-21 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.066794</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-22 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.071743</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-23 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.076666</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-24 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.081563</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-27 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.086434</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-28 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.091279</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-29 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.096098</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-30 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.100892</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-31 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.105661</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-03 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.110404</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-04 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.115122</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-05 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.119815</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-06 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.124483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-07 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.129126</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-10 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.133745</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-11 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.138339</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-12 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.142909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-13 21:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.147454</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-16 21:00:00+00:00</th>\n",
       "      <td>171.100</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.000485</td>\n",
       "      <td>0.000412</td>\n",
       "      <td>-0.825926</td>\n",
       "      <td>0.108548</td>\n",
       "      <td>0.000646</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17110.0</td>\n",
       "      <td>...</td>\n",
       "      <td>157.284790</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.965627</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16908.0</td>\n",
       "      <td>16908.0</td>\n",
       "      <td>978</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-17 21:00:00+00:00</th>\n",
       "      <td>170.150</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.000409</td>\n",
       "      <td>-0.826383</td>\n",
       "      <td>0.108493</td>\n",
       "      <td>0.000646</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17015.0</td>\n",
       "      <td>...</td>\n",
       "      <td>157.533690</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.945562</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17110.0</td>\n",
       "      <td>17110.0</td>\n",
       "      <td>979</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-20 21:00:00+00:00</th>\n",
       "      <td>169.980</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>0.000473</td>\n",
       "      <td>0.000408</td>\n",
       "      <td>-0.826162</td>\n",
       "      <td>0.108449</td>\n",
       "      <td>0.000645</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16998.0</td>\n",
       "      <td>...</td>\n",
       "      <td>157.802310</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.941678</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17015.0</td>\n",
       "      <td>17015.0</td>\n",
       "      <td>980</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-21 21:00:00+00:00</th>\n",
       "      <td>173.140</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.000505</td>\n",
       "      <td>0.000417</td>\n",
       "      <td>-0.825025</td>\n",
       "      <td>0.108475</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17314.0</td>\n",
       "      <td>...</td>\n",
       "      <td>158.099140</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.004004</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16998.0</td>\n",
       "      <td>16998.0</td>\n",
       "      <td>981</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-22 21:00:00+00:00</th>\n",
       "      <td>174.960</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.000523</td>\n",
       "      <td>0.000421</td>\n",
       "      <td>-0.825156</td>\n",
       "      <td>0.108421</td>\n",
       "      <td>0.000651</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17496.0</td>\n",
       "      <td>...</td>\n",
       "      <td>158.419350</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.039646</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17314.0</td>\n",
       "      <td>17314.0</td>\n",
       "      <td>982</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-24 18:00:00+00:00</th>\n",
       "      <td>174.970</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.000523</td>\n",
       "      <td>0.000421</td>\n",
       "      <td>-0.824796</td>\n",
       "      <td>0.108383</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17497.0</td>\n",
       "      <td>...</td>\n",
       "      <td>158.733790</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.039316</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17496.0</td>\n",
       "      <td>17496.0</td>\n",
       "      <td>983</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-27 21:00:00+00:00</th>\n",
       "      <td>174.090</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.000514</td>\n",
       "      <td>0.000418</td>\n",
       "      <td>-0.824864</td>\n",
       "      <td>0.108330</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17409.0</td>\n",
       "      <td>...</td>\n",
       "      <td>159.052970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.020718</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17497.0</td>\n",
       "      <td>17497.0</td>\n",
       "      <td>984</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-28 21:00:00+00:00</th>\n",
       "      <td>173.070</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.000504</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>-0.823139</td>\n",
       "      <td>0.108434</td>\n",
       "      <td>0.000645</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17307.0</td>\n",
       "      <td>...</td>\n",
       "      <td>159.347510</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.999183</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17409.0</td>\n",
       "      <td>17409.0</td>\n",
       "      <td>985</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-29 21:00:00+00:00</th>\n",
       "      <td>169.480</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000468</td>\n",
       "      <td>0.000401</td>\n",
       "      <td>-0.823204</td>\n",
       "      <td>0.108381</td>\n",
       "      <td>0.000644</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16948.0</td>\n",
       "      <td>...</td>\n",
       "      <td>159.597380</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.918573</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17307.0</td>\n",
       "      <td>17307.0</td>\n",
       "      <td>986</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-30 21:00:00+00:00</th>\n",
       "      <td>171.850</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000492</td>\n",
       "      <td>0.000407</td>\n",
       "      <td>-0.821756</td>\n",
       "      <td>0.108442</td>\n",
       "      <td>0.000648</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17185.0</td>\n",
       "      <td>...</td>\n",
       "      <td>159.866270</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.964547</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16948.0</td>\n",
       "      <td>16948.0</td>\n",
       "      <td>987</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-01 21:00:00+00:00</th>\n",
       "      <td>171.050</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000484</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>-0.822117</td>\n",
       "      <td>0.108387</td>\n",
       "      <td>0.000648</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17105.0</td>\n",
       "      <td>...</td>\n",
       "      <td>160.125070</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.947936</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17185.0</td>\n",
       "      <td>17185.0</td>\n",
       "      <td>988</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-04 21:00:00+00:00</th>\n",
       "      <td>169.800</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000472</td>\n",
       "      <td>0.000401</td>\n",
       "      <td>-0.822304</td>\n",
       "      <td>0.108333</td>\n",
       "      <td>0.000648</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16980.0</td>\n",
       "      <td>...</td>\n",
       "      <td>160.351150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.921919</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17105.0</td>\n",
       "      <td>17105.0</td>\n",
       "      <td>989</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-05 21:00:00+00:00</th>\n",
       "      <td>169.640</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000470</td>\n",
       "      <td>0.000401</td>\n",
       "      <td>-0.822969</td>\n",
       "      <td>0.108283</td>\n",
       "      <td>0.000648</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16964.0</td>\n",
       "      <td>...</td>\n",
       "      <td>160.562980</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.918310</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16980.0</td>\n",
       "      <td>16980.0</td>\n",
       "      <td>990</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-06 21:00:00+00:00</th>\n",
       "      <td>169.010</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000464</td>\n",
       "      <td>0.000399</td>\n",
       "      <td>-0.822989</td>\n",
       "      <td>0.108231</td>\n",
       "      <td>0.000648</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16901.0</td>\n",
       "      <td>...</td>\n",
       "      <td>160.763330</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.905278</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16964.0</td>\n",
       "      <td>16964.0</td>\n",
       "      <td>991</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-07 21:00:00+00:00</th>\n",
       "      <td>169.452</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000468</td>\n",
       "      <td>0.000399</td>\n",
       "      <td>-0.822470</td>\n",
       "      <td>0.108202</td>\n",
       "      <td>0.000648</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16945.2</td>\n",
       "      <td>...</td>\n",
       "      <td>160.962920</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.913444</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16901.0</td>\n",
       "      <td>16901.0</td>\n",
       "      <td>992</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-08 21:00:00+00:00</th>\n",
       "      <td>169.370</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000467</td>\n",
       "      <td>0.000397</td>\n",
       "      <td>-0.821492</td>\n",
       "      <td>0.108208</td>\n",
       "      <td>0.000647</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16937.0</td>\n",
       "      <td>...</td>\n",
       "      <td>161.152330</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.911380</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16945.2</td>\n",
       "      <td>16945.2</td>\n",
       "      <td>993</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-11 21:00:00+00:00</th>\n",
       "      <td>172.670</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>-0.820921</td>\n",
       "      <td>0.108182</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17267.0</td>\n",
       "      <td>...</td>\n",
       "      <td>161.381510</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.975229</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16937.0</td>\n",
       "      <td>16937.0</td>\n",
       "      <td>994</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-12 21:00:00+00:00</th>\n",
       "      <td>171.700</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000491</td>\n",
       "      <td>0.000403</td>\n",
       "      <td>-0.820643</td>\n",
       "      <td>0.108140</td>\n",
       "      <td>0.000649</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17170.0</td>\n",
       "      <td>...</td>\n",
       "      <td>161.601690</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.955174</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17267.0</td>\n",
       "      <td>17267.0</td>\n",
       "      <td>995</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-13 21:00:00+00:00</th>\n",
       "      <td>172.270</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000496</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>-0.820728</td>\n",
       "      <td>0.108088</td>\n",
       "      <td>0.000649</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17227.0</td>\n",
       "      <td>...</td>\n",
       "      <td>161.809440</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.965782</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17170.0</td>\n",
       "      <td>17170.0</td>\n",
       "      <td>996</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-14 21:00:00+00:00</th>\n",
       "      <td>172.220</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000496</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>-0.821458</td>\n",
       "      <td>0.108040</td>\n",
       "      <td>0.000649</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17222.0</td>\n",
       "      <td>...</td>\n",
       "      <td>162.010210</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.964324</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17227.0</td>\n",
       "      <td>17227.0</td>\n",
       "      <td>997</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-15 21:00:00+00:00</th>\n",
       "      <td>173.870</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000512</td>\n",
       "      <td>0.000407</td>\n",
       "      <td>-0.819855</td>\n",
       "      <td>0.108119</td>\n",
       "      <td>0.000651</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17387.0</td>\n",
       "      <td>...</td>\n",
       "      <td>162.220310</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.995906</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17222.0</td>\n",
       "      <td>17222.0</td>\n",
       "      <td>998</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-18 21:00:00+00:00</th>\n",
       "      <td>176.420</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000538</td>\n",
       "      <td>0.000414</td>\n",
       "      <td>-0.818889</td>\n",
       "      <td>0.108123</td>\n",
       "      <td>0.000654</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17642.0</td>\n",
       "      <td>...</td>\n",
       "      <td>162.484800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.044938</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17387.0</td>\n",
       "      <td>17387.0</td>\n",
       "      <td>999</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-19 21:00:00+00:00</th>\n",
       "      <td>174.540</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>0.000519</td>\n",
       "      <td>0.000409</td>\n",
       "      <td>-0.819474</td>\n",
       "      <td>0.108071</td>\n",
       "      <td>0.000655</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17454.0</td>\n",
       "      <td>...</td>\n",
       "      <td>162.741050</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.005265</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17642.0</td>\n",
       "      <td>17642.0</td>\n",
       "      <td>1000</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-20 21:00:00+00:00</th>\n",
       "      <td>174.350</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000517</td>\n",
       "      <td>0.000408</td>\n",
       "      <td>-0.819624</td>\n",
       "      <td>0.108018</td>\n",
       "      <td>0.000655</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17435.0</td>\n",
       "      <td>...</td>\n",
       "      <td>163.001870</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.001059</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17454.0</td>\n",
       "      <td>17454.0</td>\n",
       "      <td>1001</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-21 21:00:00+00:00</th>\n",
       "      <td>175.010</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000524</td>\n",
       "      <td>0.000410</td>\n",
       "      <td>-0.819266</td>\n",
       "      <td>0.107980</td>\n",
       "      <td>0.000655</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17501.0</td>\n",
       "      <td>...</td>\n",
       "      <td>163.257340</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.013325</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17435.0</td>\n",
       "      <td>17435.0</td>\n",
       "      <td>1002</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-22 21:00:00+00:00</th>\n",
       "      <td>175.010</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000524</td>\n",
       "      <td>0.000409</td>\n",
       "      <td>-0.819349</td>\n",
       "      <td>0.107928</td>\n",
       "      <td>0.000655</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17501.0</td>\n",
       "      <td>...</td>\n",
       "      <td>163.442190</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.012820</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17501.0</td>\n",
       "      <td>17501.0</td>\n",
       "      <td>1003</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-26 21:00:00+00:00</th>\n",
       "      <td>170.570</td>\n",
       "      <td>0.000193</td>\n",
       "      <td>0.000479</td>\n",
       "      <td>0.000398</td>\n",
       "      <td>-0.819540</td>\n",
       "      <td>0.107875</td>\n",
       "      <td>0.000654</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17057.0</td>\n",
       "      <td>...</td>\n",
       "      <td>163.598280</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.913225</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17501.0</td>\n",
       "      <td>17501.0</td>\n",
       "      <td>1004</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-27 21:00:00+00:00</th>\n",
       "      <td>170.600</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>0.000480</td>\n",
       "      <td>0.000397</td>\n",
       "      <td>-0.819397</td>\n",
       "      <td>0.107828</td>\n",
       "      <td>0.000654</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17060.0</td>\n",
       "      <td>...</td>\n",
       "      <td>163.746503</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.913342</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17057.0</td>\n",
       "      <td>17057.0</td>\n",
       "      <td>1005</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-28 21:00:00+00:00</th>\n",
       "      <td>171.080</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>0.000484</td>\n",
       "      <td>0.000398</td>\n",
       "      <td>-0.819066</td>\n",
       "      <td>0.107789</td>\n",
       "      <td>0.000654</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17108.0</td>\n",
       "      <td>...</td>\n",
       "      <td>163.899520</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.922021</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17060.0</td>\n",
       "      <td>17060.0</td>\n",
       "      <td>1006</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-29 21:00:00+00:00</th>\n",
       "      <td>169.230</td>\n",
       "      <td>0.000193</td>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>-0.820004</td>\n",
       "      <td>0.107749</td>\n",
       "      <td>0.000656</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>16923.0</td>\n",
       "      <td>...</td>\n",
       "      <td>163.997280</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.884195</td>\n",
       "      <td>9.987736e+06</td>\n",
       "      <td>17108.0</td>\n",
       "      <td>17108.0</td>\n",
       "      <td>1007</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1007 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              AAPL  algo_volatility  algorithm_period_return  \\\n",
       "2014-01-02 21:00:00+00:00      NaN              NaN                 0.000000   \n",
       "2014-01-03 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-06 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-07 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-08 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-09 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-10 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-13 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-14 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-15 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-16 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-17 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-21 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-22 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-23 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-24 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-27 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-28 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-29 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-30 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-01-31 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-02-03 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-02-04 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-02-05 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-02-06 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-02-07 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-02-10 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-02-11 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-02-12 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "2014-02-13 21:00:00+00:00      NaN         0.000000                 0.000000   \n",
       "...                            ...              ...                      ...   \n",
       "2017-11-16 21:00:00+00:00  171.100         0.000190                 0.000485   \n",
       "2017-11-17 21:00:00+00:00  170.150         0.000190                 0.000475   \n",
       "2017-11-20 21:00:00+00:00  169.980         0.000189                 0.000473   \n",
       "2017-11-21 21:00:00+00:00  173.140         0.000190                 0.000505   \n",
       "2017-11-22 21:00:00+00:00  174.960         0.000190                 0.000523   \n",
       "2017-11-24 18:00:00+00:00  174.970         0.000190                 0.000523   \n",
       "2017-11-27 21:00:00+00:00  174.090         0.000190                 0.000514   \n",
       "2017-11-28 21:00:00+00:00  173.070         0.000190                 0.000504   \n",
       "2017-11-29 21:00:00+00:00  169.480         0.000191                 0.000468   \n",
       "2017-11-30 21:00:00+00:00  171.850         0.000191                 0.000492   \n",
       "2017-12-01 21:00:00+00:00  171.050         0.000191                 0.000484   \n",
       "2017-12-04 21:00:00+00:00  169.800         0.000191                 0.000472   \n",
       "2017-12-05 21:00:00+00:00  169.640         0.000191                 0.000470   \n",
       "2017-12-06 21:00:00+00:00  169.010         0.000191                 0.000464   \n",
       "2017-12-07 21:00:00+00:00  169.452         0.000191                 0.000468   \n",
       "2017-12-08 21:00:00+00:00  169.370         0.000191                 0.000467   \n",
       "2017-12-11 21:00:00+00:00  172.670         0.000191                 0.000500   \n",
       "2017-12-12 21:00:00+00:00  171.700         0.000191                 0.000491   \n",
       "2017-12-13 21:00:00+00:00  172.270         0.000191                 0.000496   \n",
       "2017-12-14 21:00:00+00:00  172.220         0.000191                 0.000496   \n",
       "2017-12-15 21:00:00+00:00  173.870         0.000191                 0.000512   \n",
       "2017-12-18 21:00:00+00:00  176.420         0.000191                 0.000538   \n",
       "2017-12-19 21:00:00+00:00  174.540         0.000192                 0.000519   \n",
       "2017-12-20 21:00:00+00:00  174.350         0.000191                 0.000517   \n",
       "2017-12-21 21:00:00+00:00  175.010         0.000191                 0.000524   \n",
       "2017-12-22 21:00:00+00:00  175.010         0.000191                 0.000524   \n",
       "2017-12-26 21:00:00+00:00  170.570         0.000193                 0.000479   \n",
       "2017-12-27 21:00:00+00:00  170.600         0.000192                 0.000480   \n",
       "2017-12-28 21:00:00+00:00  171.080         0.000192                 0.000484   \n",
       "2017-12-29 21:00:00+00:00  169.230         0.000193                 0.000466   \n",
       "\n",
       "                              alpha  benchmark_period_return  \\\n",
       "2014-01-02 21:00:00+00:00       NaN                -0.005304   \n",
       "2014-01-03 21:00:00+00:00       NaN                -0.010579   \n",
       "2014-01-06 21:00:00+00:00       NaN                -0.015826   \n",
       "2014-01-07 21:00:00+00:00       NaN                -0.021046   \n",
       "2014-01-08 21:00:00+00:00       NaN                -0.026238   \n",
       "2014-01-09 21:00:00+00:00       NaN                -0.031402   \n",
       "2014-01-10 21:00:00+00:00       NaN                -0.036539   \n",
       "2014-01-13 21:00:00+00:00       NaN                -0.041649   \n",
       "2014-01-14 21:00:00+00:00       NaN                -0.046731   \n",
       "2014-01-15 21:00:00+00:00       NaN                -0.051787   \n",
       "2014-01-16 21:00:00+00:00       NaN                -0.056816   \n",
       "2014-01-17 21:00:00+00:00       NaN                -0.061818   \n",
       "2014-01-21 21:00:00+00:00       NaN                -0.066794   \n",
       "2014-01-22 21:00:00+00:00       NaN                -0.071743   \n",
       "2014-01-23 21:00:00+00:00       NaN                -0.076666   \n",
       "2014-01-24 21:00:00+00:00       NaN                -0.081563   \n",
       "2014-01-27 21:00:00+00:00       NaN                -0.086434   \n",
       "2014-01-28 21:00:00+00:00       NaN                -0.091279   \n",
       "2014-01-29 21:00:00+00:00       NaN                -0.096098   \n",
       "2014-01-30 21:00:00+00:00       NaN                -0.100892   \n",
       "2014-01-31 21:00:00+00:00       NaN                -0.105661   \n",
       "2014-02-03 21:00:00+00:00       NaN                -0.110404   \n",
       "2014-02-04 21:00:00+00:00       NaN                -0.115122   \n",
       "2014-02-05 21:00:00+00:00       NaN                -0.119815   \n",
       "2014-02-06 21:00:00+00:00       NaN                -0.124483   \n",
       "2014-02-07 21:00:00+00:00       NaN                -0.129126   \n",
       "2014-02-10 21:00:00+00:00       NaN                -0.133745   \n",
       "2014-02-11 21:00:00+00:00       NaN                -0.138339   \n",
       "2014-02-12 21:00:00+00:00       NaN                -0.142909   \n",
       "2014-02-13 21:00:00+00:00       NaN                -0.147454   \n",
       "...                             ...                      ...   \n",
       "2017-11-16 21:00:00+00:00  0.000412                -0.825926   \n",
       "2017-11-17 21:00:00+00:00  0.000409                -0.826383   \n",
       "2017-11-20 21:00:00+00:00  0.000408                -0.826162   \n",
       "2017-11-21 21:00:00+00:00  0.000417                -0.825025   \n",
       "2017-11-22 21:00:00+00:00  0.000421                -0.825156   \n",
       "2017-11-24 18:00:00+00:00  0.000421                -0.824796   \n",
       "2017-11-27 21:00:00+00:00  0.000418                -0.824864   \n",
       "2017-11-28 21:00:00+00:00  0.000411                -0.823139   \n",
       "2017-11-29 21:00:00+00:00  0.000401                -0.823204   \n",
       "2017-11-30 21:00:00+00:00  0.000407                -0.821756   \n",
       "2017-12-01 21:00:00+00:00  0.000405                -0.822117   \n",
       "2017-12-04 21:00:00+00:00  0.000401                -0.822304   \n",
       "2017-12-05 21:00:00+00:00  0.000401                -0.822969   \n",
       "2017-12-06 21:00:00+00:00  0.000399                -0.822989   \n",
       "2017-12-07 21:00:00+00:00  0.000399                -0.822470   \n",
       "2017-12-08 21:00:00+00:00  0.000397                -0.821492   \n",
       "2017-12-11 21:00:00+00:00  0.000406                -0.820921   \n",
       "2017-12-12 21:00:00+00:00  0.000403                -0.820643   \n",
       "2017-12-13 21:00:00+00:00  0.000404                -0.820728   \n",
       "2017-12-14 21:00:00+00:00  0.000404                -0.821458   \n",
       "2017-12-15 21:00:00+00:00  0.000407                -0.819855   \n",
       "2017-12-18 21:00:00+00:00  0.000414                -0.818889   \n",
       "2017-12-19 21:00:00+00:00  0.000409                -0.819474   \n",
       "2017-12-20 21:00:00+00:00  0.000408                -0.819624   \n",
       "2017-12-21 21:00:00+00:00  0.000410                -0.819266   \n",
       "2017-12-22 21:00:00+00:00  0.000409                -0.819349   \n",
       "2017-12-26 21:00:00+00:00  0.000398                -0.819540   \n",
       "2017-12-27 21:00:00+00:00  0.000397                -0.819397   \n",
       "2017-12-28 21:00:00+00:00  0.000398                -0.819066   \n",
       "2017-12-29 21:00:00+00:00  0.000394                -0.820004   \n",
       "\n",
       "                           benchmark_volatility      beta  capital_used  \\\n",
       "2014-01-02 21:00:00+00:00                   NaN       NaN           0.0   \n",
       "2014-01-03 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-06 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-07 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-08 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-09 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-10 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-13 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-14 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-15 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-16 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-17 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-21 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-22 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-23 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-24 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-27 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-28 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-29 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-30 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-01-31 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-02-03 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-02-04 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-02-05 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-02-06 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-02-07 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-02-10 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-02-11 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-02-12 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "2014-02-13 21:00:00+00:00              0.000000       NaN           0.0   \n",
       "...                                         ...       ...           ...   \n",
       "2017-11-16 21:00:00+00:00              0.108548  0.000646           0.0   \n",
       "2017-11-17 21:00:00+00:00              0.108493  0.000646           0.0   \n",
       "2017-11-20 21:00:00+00:00              0.108449  0.000645           0.0   \n",
       "2017-11-21 21:00:00+00:00              0.108475  0.000650           0.0   \n",
       "2017-11-22 21:00:00+00:00              0.108421  0.000651           0.0   \n",
       "2017-11-24 18:00:00+00:00              0.108383  0.000650           0.0   \n",
       "2017-11-27 21:00:00+00:00              0.108330  0.000650           0.0   \n",
       "2017-11-28 21:00:00+00:00              0.108434  0.000645           0.0   \n",
       "2017-11-29 21:00:00+00:00              0.108381  0.000644           0.0   \n",
       "2017-11-30 21:00:00+00:00              0.108442  0.000648           0.0   \n",
       "2017-12-01 21:00:00+00:00              0.108387  0.000648           0.0   \n",
       "2017-12-04 21:00:00+00:00              0.108333  0.000648           0.0   \n",
       "2017-12-05 21:00:00+00:00              0.108283  0.000648           0.0   \n",
       "2017-12-06 21:00:00+00:00              0.108231  0.000648           0.0   \n",
       "2017-12-07 21:00:00+00:00              0.108202  0.000648           0.0   \n",
       "2017-12-08 21:00:00+00:00              0.108208  0.000647           0.0   \n",
       "2017-12-11 21:00:00+00:00              0.108182  0.000650           0.0   \n",
       "2017-12-12 21:00:00+00:00              0.108140  0.000649           0.0   \n",
       "2017-12-13 21:00:00+00:00              0.108088  0.000649           0.0   \n",
       "2017-12-14 21:00:00+00:00              0.108040  0.000649           0.0   \n",
       "2017-12-15 21:00:00+00:00              0.108119  0.000651           0.0   \n",
       "2017-12-18 21:00:00+00:00              0.108123  0.000654           0.0   \n",
       "2017-12-19 21:00:00+00:00              0.108071  0.000655           0.0   \n",
       "2017-12-20 21:00:00+00:00              0.108018  0.000655           0.0   \n",
       "2017-12-21 21:00:00+00:00              0.107980  0.000655           0.0   \n",
       "2017-12-22 21:00:00+00:00              0.107928  0.000655           0.0   \n",
       "2017-12-26 21:00:00+00:00              0.107875  0.000654           0.0   \n",
       "2017-12-27 21:00:00+00:00              0.107828  0.000654           0.0   \n",
       "2017-12-28 21:00:00+00:00              0.107789  0.000654           0.0   \n",
       "2017-12-29 21:00:00+00:00              0.107749  0.000656           0.0   \n",
       "\n",
       "                            ending_cash  ending_exposure  \\\n",
       "2014-01-02 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-03 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-06 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-07 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-08 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-09 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-10 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-13 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-14 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-15 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-16 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-17 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-21 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-22 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-23 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-24 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-27 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-28 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-29 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-30 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-01-31 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-02-03 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-02-04 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-02-05 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-02-06 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-02-07 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-02-10 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-02-11 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-02-12 21:00:00+00:00  1.000000e+07              0.0   \n",
       "2014-02-13 21:00:00+00:00  1.000000e+07              0.0   \n",
       "...                                 ...              ...   \n",
       "2017-11-16 21:00:00+00:00  9.987736e+06          17110.0   \n",
       "2017-11-17 21:00:00+00:00  9.987736e+06          17015.0   \n",
       "2017-11-20 21:00:00+00:00  9.987736e+06          16998.0   \n",
       "2017-11-21 21:00:00+00:00  9.987736e+06          17314.0   \n",
       "2017-11-22 21:00:00+00:00  9.987736e+06          17496.0   \n",
       "2017-11-24 18:00:00+00:00  9.987736e+06          17497.0   \n",
       "2017-11-27 21:00:00+00:00  9.987736e+06          17409.0   \n",
       "2017-11-28 21:00:00+00:00  9.987736e+06          17307.0   \n",
       "2017-11-29 21:00:00+00:00  9.987736e+06          16948.0   \n",
       "2017-11-30 21:00:00+00:00  9.987736e+06          17185.0   \n",
       "2017-12-01 21:00:00+00:00  9.987736e+06          17105.0   \n",
       "2017-12-04 21:00:00+00:00  9.987736e+06          16980.0   \n",
       "2017-12-05 21:00:00+00:00  9.987736e+06          16964.0   \n",
       "2017-12-06 21:00:00+00:00  9.987736e+06          16901.0   \n",
       "2017-12-07 21:00:00+00:00  9.987736e+06          16945.2   \n",
       "2017-12-08 21:00:00+00:00  9.987736e+06          16937.0   \n",
       "2017-12-11 21:00:00+00:00  9.987736e+06          17267.0   \n",
       "2017-12-12 21:00:00+00:00  9.987736e+06          17170.0   \n",
       "2017-12-13 21:00:00+00:00  9.987736e+06          17227.0   \n",
       "2017-12-14 21:00:00+00:00  9.987736e+06          17222.0   \n",
       "2017-12-15 21:00:00+00:00  9.987736e+06          17387.0   \n",
       "2017-12-18 21:00:00+00:00  9.987736e+06          17642.0   \n",
       "2017-12-19 21:00:00+00:00  9.987736e+06          17454.0   \n",
       "2017-12-20 21:00:00+00:00  9.987736e+06          17435.0   \n",
       "2017-12-21 21:00:00+00:00  9.987736e+06          17501.0   \n",
       "2017-12-22 21:00:00+00:00  9.987736e+06          17501.0   \n",
       "2017-12-26 21:00:00+00:00  9.987736e+06          17057.0   \n",
       "2017-12-27 21:00:00+00:00  9.987736e+06          17060.0   \n",
       "2017-12-28 21:00:00+00:00  9.987736e+06          17108.0   \n",
       "2017-12-29 21:00:00+00:00  9.987736e+06          16923.0   \n",
       "\n",
       "                                    ...            short_mavg  short_value  \\\n",
       "2014-01-02 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-03 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-06 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-07 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-08 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-09 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-10 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-13 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-14 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-15 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-16 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-17 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-21 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-22 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-23 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-24 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-27 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-28 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-29 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-30 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-01-31 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-02-03 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-02-04 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-02-05 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-02-06 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-02-07 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-02-10 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-02-11 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-02-12 21:00:00+00:00           ...                   NaN          0.0   \n",
       "2014-02-13 21:00:00+00:00           ...                   NaN          0.0   \n",
       "...                                 ...                   ...          ...   \n",
       "2017-11-16 21:00:00+00:00           ...            157.284790          0.0   \n",
       "2017-11-17 21:00:00+00:00           ...            157.533690          0.0   \n",
       "2017-11-20 21:00:00+00:00           ...            157.802310          0.0   \n",
       "2017-11-21 21:00:00+00:00           ...            158.099140          0.0   \n",
       "2017-11-22 21:00:00+00:00           ...            158.419350          0.0   \n",
       "2017-11-24 18:00:00+00:00           ...            158.733790          0.0   \n",
       "2017-11-27 21:00:00+00:00           ...            159.052970          0.0   \n",
       "2017-11-28 21:00:00+00:00           ...            159.347510          0.0   \n",
       "2017-11-29 21:00:00+00:00           ...            159.597380          0.0   \n",
       "2017-11-30 21:00:00+00:00           ...            159.866270          0.0   \n",
       "2017-12-01 21:00:00+00:00           ...            160.125070          0.0   \n",
       "2017-12-04 21:00:00+00:00           ...            160.351150          0.0   \n",
       "2017-12-05 21:00:00+00:00           ...            160.562980          0.0   \n",
       "2017-12-06 21:00:00+00:00           ...            160.763330          0.0   \n",
       "2017-12-07 21:00:00+00:00           ...            160.962920          0.0   \n",
       "2017-12-08 21:00:00+00:00           ...            161.152330          0.0   \n",
       "2017-12-11 21:00:00+00:00           ...            161.381510          0.0   \n",
       "2017-12-12 21:00:00+00:00           ...            161.601690          0.0   \n",
       "2017-12-13 21:00:00+00:00           ...            161.809440          0.0   \n",
       "2017-12-14 21:00:00+00:00           ...            162.010210          0.0   \n",
       "2017-12-15 21:00:00+00:00           ...            162.220310          0.0   \n",
       "2017-12-18 21:00:00+00:00           ...            162.484800          0.0   \n",
       "2017-12-19 21:00:00+00:00           ...            162.741050          0.0   \n",
       "2017-12-20 21:00:00+00:00           ...            163.001870          0.0   \n",
       "2017-12-21 21:00:00+00:00           ...            163.257340          0.0   \n",
       "2017-12-22 21:00:00+00:00           ...            163.442190          0.0   \n",
       "2017-12-26 21:00:00+00:00           ...            163.598280          0.0   \n",
       "2017-12-27 21:00:00+00:00           ...            163.746503          0.0   \n",
       "2017-12-28 21:00:00+00:00           ...            163.899520          0.0   \n",
       "2017-12-29 21:00:00+00:00           ...            163.997280          0.0   \n",
       "\n",
       "                           shorts_count   sortino  starting_cash  \\\n",
       "2014-01-02 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-03 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-06 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-07 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-08 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-09 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-10 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-13 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-14 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-15 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-16 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-17 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-21 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-22 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-23 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-24 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-27 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-28 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-29 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-30 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-01-31 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-02-03 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-02-04 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-02-05 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-02-06 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-02-07 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-02-10 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-02-11 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-02-12 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "2014-02-13 21:00:00+00:00             0       NaN   1.000000e+07   \n",
       "...                                 ...       ...            ...   \n",
       "2017-11-16 21:00:00+00:00             0  0.965627   9.987736e+06   \n",
       "2017-11-17 21:00:00+00:00             0  0.945562   9.987736e+06   \n",
       "2017-11-20 21:00:00+00:00             0  0.941678   9.987736e+06   \n",
       "2017-11-21 21:00:00+00:00             0  1.004004   9.987736e+06   \n",
       "2017-11-22 21:00:00+00:00             0  1.039646   9.987736e+06   \n",
       "2017-11-24 18:00:00+00:00             0  1.039316   9.987736e+06   \n",
       "2017-11-27 21:00:00+00:00             0  1.020718   9.987736e+06   \n",
       "2017-11-28 21:00:00+00:00             0  0.999183   9.987736e+06   \n",
       "2017-11-29 21:00:00+00:00             0  0.918573   9.987736e+06   \n",
       "2017-11-30 21:00:00+00:00             0  0.964547   9.987736e+06   \n",
       "2017-12-01 21:00:00+00:00             0  0.947936   9.987736e+06   \n",
       "2017-12-04 21:00:00+00:00             0  0.921919   9.987736e+06   \n",
       "2017-12-05 21:00:00+00:00             0  0.918310   9.987736e+06   \n",
       "2017-12-06 21:00:00+00:00             0  0.905278   9.987736e+06   \n",
       "2017-12-07 21:00:00+00:00             0  0.913444   9.987736e+06   \n",
       "2017-12-08 21:00:00+00:00             0  0.911380   9.987736e+06   \n",
       "2017-12-11 21:00:00+00:00             0  0.975229   9.987736e+06   \n",
       "2017-12-12 21:00:00+00:00             0  0.955174   9.987736e+06   \n",
       "2017-12-13 21:00:00+00:00             0  0.965782   9.987736e+06   \n",
       "2017-12-14 21:00:00+00:00             0  0.964324   9.987736e+06   \n",
       "2017-12-15 21:00:00+00:00             0  0.995906   9.987736e+06   \n",
       "2017-12-18 21:00:00+00:00             0  1.044938   9.987736e+06   \n",
       "2017-12-19 21:00:00+00:00             0  1.005265   9.987736e+06   \n",
       "2017-12-20 21:00:00+00:00             0  1.001059   9.987736e+06   \n",
       "2017-12-21 21:00:00+00:00             0  1.013325   9.987736e+06   \n",
       "2017-12-22 21:00:00+00:00             0  1.012820   9.987736e+06   \n",
       "2017-12-26 21:00:00+00:00             0  0.913225   9.987736e+06   \n",
       "2017-12-27 21:00:00+00:00             0  0.913342   9.987736e+06   \n",
       "2017-12-28 21:00:00+00:00             0  0.922021   9.987736e+06   \n",
       "2017-12-29 21:00:00+00:00             0  0.884195   9.987736e+06   \n",
       "\n",
       "                           starting_exposure  starting_value  trading_days  \\\n",
       "2014-01-02 21:00:00+00:00                0.0             0.0             1   \n",
       "2014-01-03 21:00:00+00:00                0.0             0.0             2   \n",
       "2014-01-06 21:00:00+00:00                0.0             0.0             3   \n",
       "2014-01-07 21:00:00+00:00                0.0             0.0             4   \n",
       "2014-01-08 21:00:00+00:00                0.0             0.0             5   \n",
       "2014-01-09 21:00:00+00:00                0.0             0.0             6   \n",
       "2014-01-10 21:00:00+00:00                0.0             0.0             7   \n",
       "2014-01-13 21:00:00+00:00                0.0             0.0             8   \n",
       "2014-01-14 21:00:00+00:00                0.0             0.0             9   \n",
       "2014-01-15 21:00:00+00:00                0.0             0.0            10   \n",
       "2014-01-16 21:00:00+00:00                0.0             0.0            11   \n",
       "2014-01-17 21:00:00+00:00                0.0             0.0            12   \n",
       "2014-01-21 21:00:00+00:00                0.0             0.0            13   \n",
       "2014-01-22 21:00:00+00:00                0.0             0.0            14   \n",
       "2014-01-23 21:00:00+00:00                0.0             0.0            15   \n",
       "2014-01-24 21:00:00+00:00                0.0             0.0            16   \n",
       "2014-01-27 21:00:00+00:00                0.0             0.0            17   \n",
       "2014-01-28 21:00:00+00:00                0.0             0.0            18   \n",
       "2014-01-29 21:00:00+00:00                0.0             0.0            19   \n",
       "2014-01-30 21:00:00+00:00                0.0             0.0            20   \n",
       "2014-01-31 21:00:00+00:00                0.0             0.0            21   \n",
       "2014-02-03 21:00:00+00:00                0.0             0.0            22   \n",
       "2014-02-04 21:00:00+00:00                0.0             0.0            23   \n",
       "2014-02-05 21:00:00+00:00                0.0             0.0            24   \n",
       "2014-02-06 21:00:00+00:00                0.0             0.0            25   \n",
       "2014-02-07 21:00:00+00:00                0.0             0.0            26   \n",
       "2014-02-10 21:00:00+00:00                0.0             0.0            27   \n",
       "2014-02-11 21:00:00+00:00                0.0             0.0            28   \n",
       "2014-02-12 21:00:00+00:00                0.0             0.0            29   \n",
       "2014-02-13 21:00:00+00:00                0.0             0.0            30   \n",
       "...                                      ...             ...           ...   \n",
       "2017-11-16 21:00:00+00:00            16908.0         16908.0           978   \n",
       "2017-11-17 21:00:00+00:00            17110.0         17110.0           979   \n",
       "2017-11-20 21:00:00+00:00            17015.0         17015.0           980   \n",
       "2017-11-21 21:00:00+00:00            16998.0         16998.0           981   \n",
       "2017-11-22 21:00:00+00:00            17314.0         17314.0           982   \n",
       "2017-11-24 18:00:00+00:00            17496.0         17496.0           983   \n",
       "2017-11-27 21:00:00+00:00            17497.0         17497.0           984   \n",
       "2017-11-28 21:00:00+00:00            17409.0         17409.0           985   \n",
       "2017-11-29 21:00:00+00:00            17307.0         17307.0           986   \n",
       "2017-11-30 21:00:00+00:00            16948.0         16948.0           987   \n",
       "2017-12-01 21:00:00+00:00            17185.0         17185.0           988   \n",
       "2017-12-04 21:00:00+00:00            17105.0         17105.0           989   \n",
       "2017-12-05 21:00:00+00:00            16980.0         16980.0           990   \n",
       "2017-12-06 21:00:00+00:00            16964.0         16964.0           991   \n",
       "2017-12-07 21:00:00+00:00            16901.0         16901.0           992   \n",
       "2017-12-08 21:00:00+00:00            16945.2         16945.2           993   \n",
       "2017-12-11 21:00:00+00:00            16937.0         16937.0           994   \n",
       "2017-12-12 21:00:00+00:00            17267.0         17267.0           995   \n",
       "2017-12-13 21:00:00+00:00            17170.0         17170.0           996   \n",
       "2017-12-14 21:00:00+00:00            17227.0         17227.0           997   \n",
       "2017-12-15 21:00:00+00:00            17222.0         17222.0           998   \n",
       "2017-12-18 21:00:00+00:00            17387.0         17387.0           999   \n",
       "2017-12-19 21:00:00+00:00            17642.0         17642.0          1000   \n",
       "2017-12-20 21:00:00+00:00            17454.0         17454.0          1001   \n",
       "2017-12-21 21:00:00+00:00            17435.0         17435.0          1002   \n",
       "2017-12-22 21:00:00+00:00            17501.0         17501.0          1003   \n",
       "2017-12-26 21:00:00+00:00            17501.0         17501.0          1004   \n",
       "2017-12-27 21:00:00+00:00            17057.0         17057.0          1005   \n",
       "2017-12-28 21:00:00+00:00            17060.0         17060.0          1006   \n",
       "2017-12-29 21:00:00+00:00            17108.0         17108.0          1007   \n",
       "\n",
       "                           transactions  treasury_period_return  \n",
       "2014-01-02 21:00:00+00:00            []                     0.0  \n",
       "2014-01-03 21:00:00+00:00            []                     0.0  \n",
       "2014-01-06 21:00:00+00:00            []                     0.0  \n",
       "2014-01-07 21:00:00+00:00            []                     0.0  \n",
       "2014-01-08 21:00:00+00:00            []                     0.0  \n",
       "2014-01-09 21:00:00+00:00            []                     0.0  \n",
       "2014-01-10 21:00:00+00:00            []                     0.0  \n",
       "2014-01-13 21:00:00+00:00            []                     0.0  \n",
       "2014-01-14 21:00:00+00:00            []                     0.0  \n",
       "2014-01-15 21:00:00+00:00            []                     0.0  \n",
       "2014-01-16 21:00:00+00:00            []                     0.0  \n",
       "2014-01-17 21:00:00+00:00            []                     0.0  \n",
       "2014-01-21 21:00:00+00:00            []                     0.0  \n",
       "2014-01-22 21:00:00+00:00            []                     0.0  \n",
       "2014-01-23 21:00:00+00:00            []                     0.0  \n",
       "2014-01-24 21:00:00+00:00            []                     0.0  \n",
       "2014-01-27 21:00:00+00:00            []                     0.0  \n",
       "2014-01-28 21:00:00+00:00            []                     0.0  \n",
       "2014-01-29 21:00:00+00:00            []                     0.0  \n",
       "2014-01-30 21:00:00+00:00            []                     0.0  \n",
       "2014-01-31 21:00:00+00:00            []                     0.0  \n",
       "2014-02-03 21:00:00+00:00            []                     0.0  \n",
       "2014-02-04 21:00:00+00:00            []                     0.0  \n",
       "2014-02-05 21:00:00+00:00            []                     0.0  \n",
       "2014-02-06 21:00:00+00:00            []                     0.0  \n",
       "2014-02-07 21:00:00+00:00            []                     0.0  \n",
       "2014-02-10 21:00:00+00:00            []                     0.0  \n",
       "2014-02-11 21:00:00+00:00            []                     0.0  \n",
       "2014-02-12 21:00:00+00:00            []                     0.0  \n",
       "2014-02-13 21:00:00+00:00            []                     0.0  \n",
       "...                                 ...                     ...  \n",
       "2017-11-16 21:00:00+00:00            []                     0.0  \n",
       "2017-11-17 21:00:00+00:00            []                     0.0  \n",
       "2017-11-20 21:00:00+00:00            []                     0.0  \n",
       "2017-11-21 21:00:00+00:00            []                     0.0  \n",
       "2017-11-22 21:00:00+00:00            []                     0.0  \n",
       "2017-11-24 18:00:00+00:00            []                     0.0  \n",
       "2017-11-27 21:00:00+00:00            []                     0.0  \n",
       "2017-11-28 21:00:00+00:00            []                     0.0  \n",
       "2017-11-29 21:00:00+00:00            []                     0.0  \n",
       "2017-11-30 21:00:00+00:00            []                     0.0  \n",
       "2017-12-01 21:00:00+00:00            []                     0.0  \n",
       "2017-12-04 21:00:00+00:00            []                     0.0  \n",
       "2017-12-05 21:00:00+00:00            []                     0.0  \n",
       "2017-12-06 21:00:00+00:00            []                     0.0  \n",
       "2017-12-07 21:00:00+00:00            []                     0.0  \n",
       "2017-12-08 21:00:00+00:00            []                     0.0  \n",
       "2017-12-11 21:00:00+00:00            []                     0.0  \n",
       "2017-12-12 21:00:00+00:00            []                     0.0  \n",
       "2017-12-13 21:00:00+00:00            []                     0.0  \n",
       "2017-12-14 21:00:00+00:00            []                     0.0  \n",
       "2017-12-15 21:00:00+00:00            []                     0.0  \n",
       "2017-12-18 21:00:00+00:00            []                     0.0  \n",
       "2017-12-19 21:00:00+00:00            []                     0.0  \n",
       "2017-12-20 21:00:00+00:00            []                     0.0  \n",
       "2017-12-21 21:00:00+00:00            []                     0.0  \n",
       "2017-12-22 21:00:00+00:00            []                     0.0  \n",
       "2017-12-26 21:00:00+00:00            []                     0.0  \n",
       "2017-12-27 21:00:00+00:00            []                     0.0  \n",
       "2017-12-28 21:00:00+00:00            []                     0.0  \n",
       "2017-12-29 21:00:00+00:00            []                     0.0  \n",
       "\n",
       "[1007 rows x 40 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%zipline --start 2014-1-1 --end 2018-1-1 -o dma.pickle\n",
    "from zipline.api import order_target, record, symbol\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def initialize(context):\n",
    "    context.i = 0\n",
    "    context.asset = symbol('AAPL')\n",
    "\n",
    "\n",
    "def handle_data(context, data):\n",
    "    # Skip first 300 days to get full windows\n",
    "    context.i += 1\n",
    "    if context.i < 300:\n",
    "        return\n",
    "\n",
    "    # Compute averages\n",
    "    # data.history() has to be called with the same params\n",
    "    # from above and returns a pandas dataframe.\n",
    "    short_mavg = data.history(context.asset, 'price', bar_count=100, frequency=\"1d\").mean()\n",
    "    long_mavg = data.history(context.asset, 'price', bar_count=300, frequency=\"1d\").mean()\n",
    "\n",
    "    # Trading logic\n",
    "    if short_mavg > long_mavg:\n",
    "        # order_target orders as many shares as needed to\n",
    "        # achieve the desired number of shares.\n",
    "        order_target(context.asset, 100)\n",
    "    elif short_mavg < long_mavg:\n",
    "        order_target(context.asset, 0)\n",
    "\n",
    "    # Save values for later inspection\n",
    "    record(AAPL=data.current(context.asset, 'price'),\n",
    "           short_mavg=short_mavg,\n",
    "           long_mavg=long_mavg)\n",
    "\n",
    "\n",
    "def analyze(context, perf):\n",
    "    fig, (ax1, ax2) = plt.subplots(nrows=2,figsize=(14, 8))\n",
    "    perf.portfolio_value.plot(ax=ax1)\n",
    "    ax1.set_ylabel('portfolio value in $')\n",
    "\n",
    "    perf['AAPL'].plot(ax=ax2)\n",
    "    perf[['short_mavg', 'long_mavg']].plot(ax=ax2)\n",
    "\n",
    "    perf_trans = perf.ix[[t != [] for t in perf.transactions]]\n",
    "    buys = perf_trans.ix[[t[0]['amount'] > 0 for t in perf_trans.transactions]]\n",
    "    sells = perf_trans.ix[\n",
    "        [t[0]['amount'] < 0 for t in perf_trans.transactions]]\n",
    "    ax2.plot(buys.index, perf.short_mavg.ix[buys.index],\n",
    "             '^', markersize=10, color='m')\n",
    "    ax2.plot(sells.index, perf.short_mavg.ix[sells.index],\n",
    "             'v', markersize=10, color='k')\n",
    "    ax2.set_ylabel('price in $')\n",
    "    plt.legend(loc=0)\n",
    "    plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/packt/ml4t/02_market_and_fundamental_data/03_data_providers/05_zipline\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 1104\n",
      "drwxr-sr-x 3 packt users    4096 Jun 16 19:37 .\n",
      "drwxr-sr-x 3 packt users    4096 Jun 16 19:28 ..\n",
      "drwxr-sr-x 5 packt users    4096 Jun 16 19:37 quandl\n",
      "-rw-r--r-- 1 packt users   61335 Jun 16 19:37 SPY_benchmark.csv\n",
      "-rw-r--r-- 1 packt users 1054053 Jun 16 19:37 treasury_curves.csv\n"
     ]
    }
   ],
   "source": [
    "!ls -al /home/packt/.zipline/data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "name": "python",
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  "toc": {
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   "title_cell": "Table of Contents",
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   "toc_position": {},
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